update: push latest content

app.py

@@ -1,4 +1,4 @@
-import gradio as gr 
+import gradio as gr
 import subprocess, shutil, os, zipfile, datetime
 from pathlib import Path
 
@@ -14,11 +14,11 @@ def run_pipeline(arxiv_url, pdf_file, openai_key, logo_files):
     start_time = datetime.datetime.now()
     logs = [f"🚀 Starting pipeline at {start_time.strftime('%Y-%m-%d %H:%M:%S')}\n"]
 
-    # ====== 目录准备 ======
+    # ====== Prepare directories ======
     for d in [OUTPUT_DIR, LOGO_DIR, POSTER_LATEX_DIR, INPUT_DIR]:
         d.mkdir(parents=True, exist_ok=True)
 
-    # 清理旧输出
+    # Clean up old outputs
     for item in OUTPUT_DIR.iterdir():
         if item.is_dir():
             shutil.rmtree(item)
@@ -28,21 +28,21 @@ def run_pipeline(arxiv_url, pdf_file, openai_key, logo_files):
         ZIP_PATH.unlink()
     logs.append("🧹 Cleaned previous output.\n")
 
-    # ====== 校验：必须上传 LOGO ======
-    # Gradio 可能返回单个文件对象或列表，这里统一成列表处理
+    # ====== Validation: must upload LOGO ======
+    # Gradio may return a single file or a list, normalize to list
     if logo_files is None:
         logo_files = []
     if not isinstance(logo_files, (list, tuple)):
         logo_files = [logo_files]
-    logo_files = [f for f in logo_files if f]  # 过滤掉 None
+    logo_files = [f for f in logo_files if f]  # filter None
 
     if len(logo_files) == 0:
-        msg = "❌ 必须上传作者所属机构 Logo（可多张）。"
+        msg = "❌ You must upload at least one institutional logo (multiple allowed)."
         logs.append(msg)
         _write_logs(logs)
         return "\n".join(logs), None
 
-    # 清空 input/logo 后再保存
+    # Clear input/logo and then save new files
     for item in LOGO_DIR.iterdir():
         if item.is_file():
             item.unlink()
@@ -53,7 +53,7 @@ def run_pipeline(arxiv_url, pdf_file, openai_key, logo_files):
         saved_logo_paths.append(p)
     logs.append(f"🏷️ Saved {len(saved_logo_paths)} logo file(s) to: {LOGO_DIR}\n")
 
-    # ====== 处理上传 PDF（可选） ======
+    # ====== Handle uploaded PDF (optional) ======
     pdf_path = None
     if pdf_file:
         pdf_dir = INPUT_DIR / "pdf"
@@ -62,18 +62,18 @@ def run_pipeline(arxiv_url, pdf_file, openai_key, logo_files):
         shutil.copy(pdf_file.name, pdf_path)
         logs.append(f"📄 Uploaded PDF saved to: {pdf_path}\n")
 
-        # 为 pipeline 的 Step 1.5 兼容：额外复制到 input/paper.pdf
+        # For pipeline Step 1.5 compatibility: also copy to input/paper.pdf
         canonical_pdf = INPUT_DIR / "paper.pdf"
         shutil.copy(pdf_file.name, canonical_pdf)
 
-    # ====== 校验输入来源 ======
+    # ====== Validate input source ======
     if not arxiv_url and not pdf_file:
-        msg = "❌ 请提供 arXiv 链接或上传 PDF 文件（二选一）。"
+        msg = "❌ Please provide either an arXiv link or upload a PDF file (choose one)."
         logs.append(msg)
         _write_logs(logs)
         return "\n".join(logs), None
 
-    # ====== 构造命令 ======
+    # ====== Build command ======
     cmd = [
         "python", "pipeline.py",
         "--model_name_t", "gpt-5",
@@ -82,7 +82,7 @@ def run_pipeline(arxiv_url, pdf_file, openai_key, logo_files):
         "--paper_latex_root", "input/latex_proj",
         "--openai_key", openai_key,
         "--gemini_key", "##",
-        "--logo_dir", str(LOGO_DIR)  # 👈 新增：把 logo 目录传入
+        "--logo_dir", str(LOGO_DIR)  # 👈 Added: pass logo directory
     ]
 
     if arxiv_url:
@@ -109,7 +109,7 @@ def run_pipeline(arxiv_url, pdf_file, openai_key, logo_files):
         _write_logs(logs)
         return "\n".join(logs), None
 
-    # ====== 检查输出 & 打包 ======
+    # ====== Check output & zip ======
     if not any(OUTPUT_DIR.iterdir()):
         msg = "❌ No output generated. Please check logs below."
         logs.append(msg)
@@ -140,19 +140,20 @@ def _write_logs(logs):
 iface = gr.Interface(
     fn=run_pipeline,
     inputs=[
-        gr.Textbox(label="📘 ArXiv URL（二选一）", placeholder="https://arxiv.org/abs/2505.xxxxx"),
-        gr.File(label="📄 上传 PDF（二选一）"),
+        gr.Textbox(label="📘 ArXiv URL (choose one)", placeholder="https://arxiv.org/abs/2505.xxxxx"),
+        gr.File(label="📄 Upload PDF (choose one)"),
         gr.Textbox(label="🔑 OpenAI API Key", placeholder="sk-...", type="password"),
-        gr.File(label="🏷️ 上传作者所属机构 Logo（必选，可多文件）", file_count="multiple", file_types=["image"]),
+        gr.File(label="🏷️ Upload Institutional Logo(s) (required, multiple allowed)", file_count="multiple", file_types=["image"]),
     ],
     outputs=[
         gr.Textbox(label="🧾 Logs", lines=30, max_lines=50),
-        gr.File(label="📦 下载生成结果 (.zip)")
+        gr.File(label="📦 Download Results (.zip)")
     ],
-    title="📄 PaperShow Pipeline",
+    title="📄 Paper2Poster",
     description=(
-        "必须上传机构 Logo（可多张）。\n"
-        "���输入 arXiv 链接或上传 PDF（二选一），系统将生成 Poster 并打包下载。"
+        "Upload your paper, and the pipeline will automatically generate a fully compilable LaTeX poster; you can download the ZIP file and compile it yourself. Each paper takes approximately 6–10 minutes to process."
+        "Provide either an arXiv link or upload a PDF file (choose one); the system will generate a poster and package it for download."
+        "You must upload at least one institutional logo (multiple allowed).\n"
     ),
     allow_flagging="never",
 )